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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.24.1

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-09-24, 16:00 CEST based on data in:

        General Statistics

        Showing 1/1 rows and 2/6 columns.
        Sample NameAlignedUniq aligned
        STARsolo
        96.2%
        88.5%

        STAR

        Universal RNA-seq aligner.URL: https://github.com/alexdobin/STARDOI: 10.1093/bioinformatics/bts635

        Summary Statistics

        Summary statistics from the STAR alignment

        Showing 1/1 rows and 10/19 columns.
        Sample NameTotal ReadsAlignedUniq alignedAvg. mapped lenAnnotated splicesMismatch rateDel rateDel lenIns rateIns len
        STARsolo
        7.7M
        96.2%
        88.5%
        89.3bp
        1.1M
        0.5%
        0.0%
        1.6bp
        0.0%
        1.4bp

        Alignment Scores

        Created with MultiQC

        MultiQC v1.24.1 - Written by Phil Ewels, available on GitHub.

        This report uses Plotly, jQuery, jQuery UI, Bootstrap and FileSaver.js.